An Architecture of an Academic Search Engine with Personalized Search Result Ranking Mechanism

W. Choochaiwattana
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引用次数: 1

Abstract

A rapid increasing of information on the Internet and World Wide Web causes information overloaded problem. Thus, search engines become important tools to help WWW users to discover the information they need. With an exponentially increasing of published research paper, community-based research paper sharing systems and academic search engines become indispensable tools for researchers to search for any research papers in their fields of expertise and related fields according to their interests. To improve a quality of research paper searching, an academic search engines' capability should be enhanced. This paper proposed an architecture of an academic search engine with personalized search result ranking mechanism. To evaluate the performance of personalized search result ranking mechanism, twenty-five graduate students were invited to be participants in this research study. As a criterion, the participants were asked to use a prototype of academic search engine to find and bookmark any research papers according to their interests. This would guarantee that each participants' list of interesting research paper could be recorded. The Normalized Discounted Cumulative Gain (NDCG) was used as a metric to determine that performance of personalized search result ranking mechanism. During the experiment, each participant was asked to search for research papers according to their interests. The result of the experiment suggested that the personalized search result ranking mechanism outperformed the original search result ranking. Hence, the proposed architecture of the academic search engine with personalized search engine mechanism does benefit a tasks of research paper discovery. It improves the quality of research paper searching.
具有个性化搜索结果排序机制的学术搜索引擎体系结构
互联网和万维网上信息的迅速增长导致了信息过载的问题。因此,搜索引擎成为帮助WWW用户发现他们需要的信息的重要工具。随着发表的研究论文呈指数级增长,基于社区的研究论文共享系统和学术搜索引擎成为研究人员根据自己的兴趣搜索自己专业领域和相关领域的任何研究论文不可或缺的工具。为了提高科研论文的检索质量,需要提高学术搜索引擎的功能。提出了一种具有个性化搜索结果排序机制的学术搜索引擎架构。为了评估个性化搜索结果排序机制的性能,本研究邀请了25名研究生作为研究对象。作为一项标准,参与者被要求使用一个学术搜索引擎的原型,根据他们的兴趣来查找和收藏任何研究论文。这将保证每个参与者的有趣的研究论文列表可以被记录下来。使用归一化贴现累积增益(NDCG)作为衡量个性化搜索结果排序机制性能的指标。在实验过程中,每个参与者被要求根据自己的兴趣搜索研究论文。实验结果表明,个性化搜索结果排序机制优于原始搜索结果排序机制。因此,本文提出的具有个性化搜索引擎机制的学术搜索引擎架构有利于科研论文的发现任务。提高了科研论文检索的质量。
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